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@ -16,7 +16,7 @@ arguments with appropriate data types must be passed to the routine,
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i.e.
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i.e.
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\begin{itemize}
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\begin{itemize}
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\item the sparse matrix data structure, containing the matrix to be
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\item the sparse matrix data structure, containing the matrix to be
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preconditioned, must be of type \verb|mld_|\emph{x}\verb|spmat_type|
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preconditioned, must be of type \verb|psb_|\emph{x}\verb|spmat_type|
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with \emph{x} = \verb|s| for real single precision, \emph{x} = \verb|d|
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with \emph{x} = \verb|s| for real single precision, \emph{x} = \verb|d|
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for real double precision, \emph{x} = \verb|c| for complex single precision,
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for real double precision, \emph{x} = \verb|c| for complex single precision,
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\emph{x} = \verb|z| for complex double precision;
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\emph{x} = \verb|z| for complex double precision;
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@ -26,12 +26,9 @@ i.e.
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matrix data structure;
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matrix data structure;
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\item the arrays containing the vectors $v$ and $w$ involved in
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\item the arrays containing the vectors $v$ and $w$ involved in
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the preconditioner application $w=M^{-1}v$ must be of type
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the preconditioner application $w=M^{-1}v$ must be of type
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\emph{type}\verb|(|\emph{kind\_parameter}\verb|)|, with \emph{type} =
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\verb|psb_|\emph{x}\verb|vect_type| with \emph{x} =
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\verb|real|, \verb|complex| and \emph{kind\_parameter} = \verb|kind(1.e0)|,
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\verb|s|, \verb|d|, \verb|c|, \verb|z|, in a manner completely
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\verb|kind(1.d0)|, according to the sparse matrix and preconditioner
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analogous to the sparse matrix type;
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data structure; note that the PSBLAS module \verb|psb_base_mod|
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provides the constants \verb|psb_spk_|
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= \verb|kind(1.e0)| and \verb|psb_dpk_| = \verb|kind(1.d0)|;
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\item real parameters defining the preconditioner must be declared
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\item real parameters defining the preconditioner must be declared
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according to the precision of the sparse matrix and preconditioner
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according to the precision of the sparse matrix and preconditioner
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data structures (see Section~\ref{sec:precset}).
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data structures (see Section~\ref{sec:precset}).
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Salvatore Filippone
13 years ago